This position is essentially a technically-capable Data Strategist. That means that the primary duty is to advise, consult, and solve problems. The ability to build the actual solution is necessary, but secondary to being a top notch technology consultant.

Most likely, they will be serving as trusted advisers to executive leadership, identifying opportunities, iterating with stakeholders to identify root problems, mapping the most effective solutions, and building proofs-of-concept which they then use to demonstrate value, guide decisions, steer the organization, and launch targeted development efforts. The ultimate goal is to make sure the org is pushing out ML/AI products "that matter", that are useful, and that are actually used.

Top 3 Skills*

1 Problem-solving -- the ability to take a holistic, systems-thinking approach to problems, understanding not just the symptoms and the components, but the complex relationships between them. This involves the willingness to listen actively to the stakeholders and learn, a knack for critical thinking to fully break down what is happening, a creative mindset for solutioning, and technical proficiency to know what tools/methodologies are needed. 2 Technical proficiency with a broad array of informatics/analytic activities/methods/tools. This includes strong hands on experience with activities along the full data analysis lifecycle, spanning data collection, data processing, data management, data analytics, packaging, and delivery. Languages: Python (with NumPy, Pandas, Scikit, Tensor, Keras, etc) and/or R; statistical methods (ANOVA, ARIMA, Regression, Hypothesis Testing, PCA, Time Series, etc etc); optimization 3 Technical proficiency with identifying infrastructure requirements, designing an environment, and provisioning the necessary resources to perform the above activities in AWS or On-prem